A Simple Macro-Fiscal Model for Policy Analysis: An Application to Cambodia
Daniel Baksa (),
Ales Bulir and
Dyna Heng
Asian Journal of Economics and Empirical Research, 2022, vol. 9, issue 1, 21-37
Abstract:
Macroeconomic management in many developing countries is often heavily dependent on fiscal policies. This paper develops a semi-structural macro-fiscal model for simulating and forecasting macroeconomic policies in Cambodia. The model is calibrated to capture key characteristics of Cambodia’s economy and serves as a tool for scenario analysis. We demonstrate its application with an illustrative scenario of the macroeconomic effects of the Covid-19 pandemic. The model’s results conform with past empirical analyses of the Cambodian economy and generate intuitive and easy-to-understand policy scenarios. Complemented with near-term forecasting tools and expert judgment, the dynamics of the model help to inform policymakers about medium-term transmission channels and thus guide policy advice. In particular, the results could serve as an input for the country’s medium-term fiscal framework and debt sustainability analysis.
Keywords: Business cycle; Fiscal policy; Cambodia; Forecasting; Simulation; Debt management. (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.asianonlinejournals.com/index.php/AJEER/article/view/3733/2311 (application/pdf)
https://www.asianonlinejournals.com/index.php/AJEER/article/view/3733/2831 (text/html)
Related works:
Working Paper: A Simple Macrofiscal Model for Policy Analysis: An Application to Cambodia (2020) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:aoj:ajeaer:v:9:y:2022:i:1:p:21-37:id:3733
Access Statistics for this article
More articles in Asian Journal of Economics and Empirical Research from Asian Online Journal Publishing Group
Bibliographic data for series maintained by Sara Lim ().